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Modeling of near wake characteristics in floating offshore wind turbines using an actuator line method

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  • Arabgolarcheh, Alireza
  • Jannesarahmadi, Sahar
  • Benini, Ernesto

Abstract

Fast and effective numerical models describing the effect of platform motion on the performance of floating offshore wind turbines (FOWTs) are fundamental to assess energy harvesting potential in large offshore wind farms. The purpose of this paper is to implement a CFD-based Computationally-Efficient approach based on an actuator line model (ALM) for FOWTs aerodynamics. Such a tool aims at complementing reasonable accuracy and affordable computational effort while being able to investigate the effects of the platform motions on the wake evolution. The actuator line model for FOWTs is developed by implementing a dedicated C++ library in the OpenFOAM toolbox. In addition, a tip treatment is applied to involve the tip effects induced by the pressure equalization from the suction and pressure sides. Results show that employing ALM decreases computational cost and preprocessing time for producing appropriate computational grids, as just about 400k and 600k grids are necessary for solving two representative test cases of fixed-bottom turbines (NREL Phase VI and NREL 5-MW) with reasonable accuracy. The inclusion of platform motion is then introduced, and the results showed that ALM is capable of capturing vortices trajectory, potential blade-vortex interactions, and vortex pairing and vortex ring state phenomenon in FOWTs.

Suggested Citation

  • Arabgolarcheh, Alireza & Jannesarahmadi, Sahar & Benini, Ernesto, 2022. "Modeling of near wake characteristics in floating offshore wind turbines using an actuator line method," Renewable Energy, Elsevier, vol. 185(C), pages 871-887.
    • Handle: RePEc:eee:renene:v:185:y:2022:i:c:p:871-887
    DOI: 10.1016/j.renene.2021.12.099
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    References listed on IDEAS

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    1. Arabgolarcheh, Alireza & Micallef, Daniel & Benini, Ernesto, 2023. "The impact of platform motion phase differences on the power and load performance of tandem floating offshore wind turbines," Energy, Elsevier, vol. 284(C).
    2. ArabGolarcheh, Alireza & Anbarsooz, Morteza & Benini, Ernesto, 2024. "An actuator line method for performance prediction of HAWTs at urban flow conditions: A case study of rooftop wind turbines," Energy, Elsevier, vol. 292(C).
    3. Liu, Songyue & Li, Qiusheng & Lu, Bin & He, Junyi, 2024. "Analysis of NREL-5MW wind turbine wake under varied incoming turbulence conditions," Renewable Energy, Elsevier, vol. 224(C).
    4. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2024. "A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    5. Arabgolarcheh, Alireza & Rouhollahi, Amirhossein & Benini, Ernesto, 2023. "Analysis of middle-to-far wake behind floating offshore wind turbines in the presence of multiple platform motions," Renewable Energy, Elsevier, vol. 208(C), pages 546-560.
    6. Jiayan Zhou & Huijuan Guo & Yuan Zheng & Zhi Zhang & Cong Yuan & Bin Liu, 2023. "Research on Wake Field Characteristics and Support Structure Interference of Horizontal Axis Tidal Stream Turbine," Energies, MDPI, vol. 16(9), pages 1-16, May.
    7. Ke Song & Huiting Huan & Yuchi Kang, 2022. "Aerodynamic Performance and Wake Characteristics Analysis of Archimedes Spiral Wind Turbine Rotors with Different Blade Angle," Energies, MDPI, vol. 16(1), pages 1-18, December.
    8. Cai, Yefeng & Zhao, Haisheng & Li, Xin & Liu, Yuanchuan, 2023. "Aerodynamic analysis for different operating states of floating offshore wind turbine induced by pitching movement," Energy, Elsevier, vol. 285(C).
    9. Arabgolarcheh, Alireza & Micallef, Daniel & Rezaeiha, Abdolrahim & Benini, Ernesto, 2023. "Modelling of two tandem floating offshore wind turbines using an actuator line model," Renewable Energy, Elsevier, vol. 216(C).
    10. Yang, Lin & Liao, Kangping & Ma, Qingwei & Ma, Gang & Sun, Hanbing, 2023. "Investigation of wake characteristics of floating offshore wind turbine with control strategy using actuator curve embedding method," Renewable Energy, Elsevier, vol. 218(C).

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